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On August nineteenth, 2024, Gartner printed its first Magic Quadrant for AI Code Assistants, which incorporates Amazon Net Providers (AWS). Amazon Q Developer certified for inclusion, having launched in common availability on April 30, 2024. AWS was ranked as a Chief for its capacity to execute and completeness of imaginative and prescient.
We consider this Chief placement displays our fast tempo of innovation, which makes the entire software program improvement lifecycle simpler and will increase developer productiveness with enterprise-grade entry controls and safety.
The Gartner Magic Quadrant evaluates 12 AI code assistants primarily based on their Means to Execute, which measures a vendor’s capability to ship its services or products successfully, and Completeness of Imaginative and prescient, which assesses a vendor’s understanding of the market and its technique for future development, in line with Gartner’s report, How Markets and Distributors Are Evaluated in Gartner Magic Quadrants.
Right here is the graphical illustration of the 2024 Gartner Magic Quadrant for AI Code Assistants.
Right here is the quote from Gartner’s report:
Amazon Net Providers (AWS) is a Chief on this Magic Quadrant. Its product, Amazon Q Developer (previously CodeWhisperer), is targeted on helping and automating developer duties utilizing AI. For instance, Amazon Q Developer helps with code recommendations and transformation, testing and safety, in addition to characteristic improvement. Its operations are geographically various, and its purchasers are of all sizes. AWS is targeted on delivering AI-driven options that improve the software program improvement life cycle (SDLC), automating complicated duties, optimizing efficiency, guaranteeing safety, and driving innovation.
My crew focuses on creating content material on Amazon Q Developer that instantly helps software program builders’ jobs-to-be-done, enabled and enhanced by generative AI in Amazon Q Developer Middle and Neighborhood.aws.
I’ve had the prospect to speak with our prospects to ask why they select Amazon Q Developer. They stated it’s out there to speed up and full duties throughout the SDLC far more than common AI code assistants—from coding, testing, and upgrading, to troubleshooting, performing safety scanning and fixes, optimizing AWS sources, and creating knowledge engineering pipelines.
Listed here are the highlights that prospects talked about extra usually:
Accessible in every single place you want it – You should utilize Amazon Q Developer in any of the next built-in improvement surroundings (IDE), together with Visible Studio Code, JetBrains IDEs, AWS Toolkit with Amazon Q, JupyterLab, Amazon EMR Studio, Amazon SageMaker Studio, or AWS Glue Studio. You can too use Amazon Q Developer within the AWS Administration Console, AWS Command Line Interface (AWS CLI), AWS documentation, AWS Assist, AWS Console Cellular Software, Amazon CodeCatalyst, or by means of Slack and Microsoft Groups with AWS Chatbot. In keeping with Secure Software program, “Amazon Q is aware of all of the methods to utilize the numerous instruments that AWS offers. As a result of we are actually in a position to accomplish extra, we will prolong our automations into different AWS companies and make use of Amazon Q to assist us get there.” To study extra, go to Amazon Q Developer options and Amazon Q Developer prospects.
Customizing code suggestions – You will get code suggestions primarily based in your inside code base. Amazon Q Developer accelerates onboarding to a brand new code base to generate much more related inline code suggestions and chat responses (in preview) by making it conscious of your inside libraries, APIs, finest practices, and architectural patterns. Your group’s directors can securely join Amazon Q Developer to your inside code bases to create a number of customizations. In keeping with Nationwide Australia Financial institution (NAB), NAB has now added particular recommendations utilizing the Amazon Q customization functionality which are tailor-made to the NAB coding requirements. They’re seeing elevated acceptance charges of 60 % with customization. To study extra, go to Customizing recommendations within the AWS documentation.
Upgrading your Java functions – Amazon Q Developer Agent for code transformation automates the method of upgrading and remodeling your legacy Java functions. In keeping with an inside Amazon examine, Amazon has migrated tens of 1000’s of manufacturing functions from Java 8 or 11 to Java 17 with help from Amazon Q Developer. This represents a financial savings of over 4,500 years of improvement work for over a thousand builders (when in comparison with handbook upgrades) and efficiency enhancements value $260 million {dollars} in annual price financial savings. Transformations from Home windows to cross-platform .NET are additionally coming quickly! To study extra, go to Upgrading language variations with the Amazon Q Developer Agent for code transformation within the AWS documentation.
Entry the entire 2024 Gartner Magic Quadrant for AI Code Assistants report to study extra.
— Channy
Gartner Magic Quadrant for AI Code Assistants, Arun Batchu, Philip Walsh, Matt Brasier, Haritha Khandabattu, 19 August, 2024.
Gartner doesn’t endorse any vendor, services or products depicted in its analysis publications and doesn’t advise know-how customers to pick solely these distributors with the best rankings or different designation. Gartner analysis publications encompass the opinions of Gartner’s analysis group and shouldn’t be construed as statements of truth. Gartner disclaims all warranties, expressed or implied, with respect to this analysis, together with any warranties of merchantability or health for a selected function.
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